Method and system for generating a hospital recommendation

ABSTRACT

A method and system for generating a hospital recommendation is disclosed. The method includes receiving an input search criterion by a hospital recommendation platform using one or more communication devices, identifying one or more hospital according to the received input search criterion based on a plurality of attributes of one or more affiliated doctors classified under a plurality of domains, comparing one or more identified hospitals based on a parameter, and displaying a list of hospital to the user corresponding to the received input search criterion.

CROSS-REFERENCE TO RELATED APPLICATION

The present application is related to provisional patent applicationSer. No. 62/302,188, filed on Mar. 2, 2016, and titled “HOSPITALRECOMMENDATION SYSTEM”. The entire disclosure of the above patentapplication is hereby incorporated by reference.

FIELD OF THE INVENTION

The present application generally relates to healthcare services.Particularly, the present invention relates to recommendation of a listof hospitals based on an input search criterion.

BACKGROUND

There are no objective measures by which one can identify a hospital'sexpertise in a particular disease, medicine or procedure. Some hospitalsdisplay their expertise on their own website but there is no third partyvalidation for the same. Thus, patients depend on their primary carephysician to guide them to a hospital for expert advice about theirdisease, medicines or procedures. Further, the current system does notallow for comparison of two or more hospitals for a particular searchcriterion (“Search Term”) that could be a disease, medicine orprocedure.

In conventional systems, the hospital recommendation is based ondifferent factors such as patients' review of hospitals, hospitals'nomination by a panel of experts, and number of patients seen by ahospital. However, these factors limit the scope of hospitalrecommendation system for searching and recommending hospitals based onthe input search criteria.

Thus, in light of the above mentioned background art, it is evidentthat, there is a need for a method and system that overcomes the abovestated problems. There is a need for a method and system for generatingrecommendation of a list of hospitals based on an input searchcriterion. A method and system for generating a hospital recommendationis desired.

SUMMARY

Before the present systems and methods, enablement are described, it isto be understood that this application is not limited to the particularsystems, and methodologies described, as there can be multiple possibleembodiments which are not expressly illustrated in the presentdisclosures. It is also to be understood that the terminology used inthe description is for the purpose of describing the particular versionsor embodiments only, and is not intended to limit the scope of thepresent application.

In accordance with the present application, the primary objective is toprovide a method and system for generating a hospital recommendation.

In accordance with one embodiment of the present invention, a method forgenerating a hospital recommendation to a user (102) is provided. Themethod for generating the hospital recommendation to the user (102)comprises receiving an input search criterion by a hospitalrecommendation platform (108) using one or more communication devices(104; 114), identifying one or more hospital according to the receivedinput search criterion based on a plurality of attributes of one or moreaffiliated doctors classified under a plurality of domains, comparingone or more identified hospitals based on a parameter, and displaying alist of hospital to the user (102) corresponding to the received inputsearch criterion.

In accordance with one embodiment of the present invention, the inputsearch criterion is based on “Search Term”.

In accordance with one embodiment of the present invention, identifyingone or more hospitals is based on various attributes of affiliateddoctors in different domains. List of the domains includes, but are notlimited to Clinical expertise in the search criterion, researchcontributions related to search criterion, and Subject authority. Thesubject authority is based on education contributions, leadership rolesheld among peers and number of referrals.

In accordance with one embodiment of the present invention, identifyingone or more hospitals further comprises obtaining a list of doctorsaffiliated to a hospital based on a first scoring method; applying asecond scoring method to the obtained list of doctors; and calculating ascore for the hospital based on a cumulative score obtained from saidsecond scoring method.

In accordance with one embodiment of the present invention, thecumulative score is an aggregate score of the list of doctors affiliatedto the hospital.

In accordance with one embodiment of the present invention, theparameter is the cumulative score obtained from the second scoringmethod.

In accordance with one embodiment of the present invention, the firstscoring method comprises calculation of a score for a doctor based on atleast one of the various weights to each attributes and strengths ofassociation of each attribute with the input search criterion.

In accordance with one embodiment of the present invention, the methodfurther enables auto completion of the input search criterion.

In accordance with one embodiment of the present invention, the methodfurther enables displaying hospital recommendations in various forms.

In accordance with one embodiment of the present invention, a system(100) for generating a hospital recommendation to a user (102) using ahospital recommendation platform (108) communicatively coupled with oneor more communication devices (104; 114) through a communication network(110) is provided. The system (100) for generating the hospitalrecommendation to the user (102) comprises an input detection module(404), configured to receive, detect and interpret an input searchcriterion by the hospital recommendation platform (108) using one ormore communication devices (104; 114), an information storage module(406), configured to store information related to one or more hospitaland information related to the user (102), an analytics module (408),configured to compare one or more identified hospital based on a scoringmechanism and provide a list of hospital correspondence to the inputsearch criterion, and one or more processing modules (410), configuredto process the input search criterion and identify one or more hospitalcorresponding to the input search criterion based on a plurality ofattributes.

In accordance with one embodiment of the present invention, the system(100) for generating a hospital recommendation suggests auto completionof the input search criterion.

In accordance with one embodiment of the present invention, if there aremultiple affiliations for a particular doctor, the system gives weightsto each affiliation based on, but not limited to, the size of thehospital and number of affiliated hospitals for the given doctor.

In accordance with one embodiment of the present invention, the system(100) for generating a hospital recommendation is multifaceted. Thehospital recommendations is not based on a single attribute, rather, itis based on various attributes of affiliated doctors in differentdomains. List of attributes includes, but is not limited to number ofpublications as first or last author for each search term, number ofpublications not as first or last author for each search term, number ofcitations for publications in which the doctor is first or last authorfor each search term, number of citations for publications in which thedoctor is not a first or last author for each search term, ratio oforiginal article and total publications, ratio of human studies andtotal publication, number of patients a doctor sees with a particulardisease, number of a particular medicine prescribed by a doctor, numberof a particular procedure performed by a doctor, invited chapters in abook on a particular topic, leadership positions in a nationalorganization, number of referrals from peers, and honor in local andregional chapters.

In accordance with one embodiment of the present invention, the system(100) for generating a hospital recommendation is unbiased. The system(100) does not require input from either patients or hospitals and thusavoids a bias.

In accordance with one embodiment of the present invention, the system(100) for generating a hospital recommendation provides personalizedhospital recommendations. Identification of hospital is based on the“Search Term”.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing summary, as well as the following detailed description ofpreferred embodiments, is better understood when read in conjunctionwith the appended drawings. There is shown in the drawings exampleembodiments, however, the application is not limited to the specificsystem and method disclosed in the drawings.

FIG. 1 illustrates a system for generating a hospital recommendation, inaccordance with various embodiments of the present invention;

FIG. 2 illustrates a flowchart for generating a hospital recommendation,in accordance with various embodiments of the present invention.

FIG. 3a illustrates a user interface for receiving an input searchcriterion, in accordance with various embodiments of the presentinvention.

FIG. 3b illustrates a user interface for providing search termsuggestions, in accordance with various embodiments of the presentinvention.

FIG. 3c illustrates a user interface for selecting a category, inaccordance with various embodiments of the present invention.

FIG. 3d illustrates a user interface for displaying a list of hospitalrecommendation, in accordance with various embodiments of the presentinvention.

FIG. 3e illustrates a user interface for filtering the list of hospitalrecommendation, in accordance with various embodiments of the presentinvention.

FIG. 4 illustrates a block diagram of a hospital recommendationplatform, in accordance with various embodiments of the presentinvention.

DETAILED DESCRIPTION

Some embodiments, illustrating its features, will now be discussed indetail. The words “comprising”, “having”, “containing”, and “including,”and other forms thereof, are intended to be equivalent in meaning and beopen ended in that an item or items following any one of these words isnot meant to be an exhaustive listing of such item or items, or meant tobe limited to only the listed item or items. It must also be noted thatas used herein and in the appended claims, the singular forms “a”, “an”,and “the” include plural references unless the context clearly dictatesotherwise. Although any methods, and systems similar or equivalent tothose described herein can be used in the practice or testing ofembodiments, the preferred methods, and systems are now described. Thedisclosed embodiments are merely exemplary.

In accordance with one embodiment of the present invention, a method forgenerating a hospital recommendation to a user (102) is provided. Themethod for generating the hospital recommendation to the user (102)comprising receiving an input search criterion by a hospitalrecommendation platform (108) using one or more communication devices(104; 114), identifying one or more hospital according to the receivedinput search criterion based on a plurality of attributes of one or moreaffiliated doctors classified under a plurality of domains, comparingone or more identified hospitals based on a parameter, and displaying alist of hospital to the user (102) corresponding to the received inputsearch criterion.

In accordance with one embodiment of the present invention, a system(100) for generating a hospital recommendation to a user (102) using ahospital recommendation platform (108) communicatively coupled with oneor more communication devices (104; 114) through a communication network(110) is provided. The system (100) for generating the hospitalrecommendation to the user (102) comprising an input detection module(404), configured to receive, detect and interpret an input searchcriterion by the hospital recommendation platform (108) using one ormore communication devices (104; 114), an information storage module(406), configured to store information related to one or more hospitaland information related to the user (102), an analytics module (408),configured to compare one or more identified hospital based on a scoringmechanism and provide a list of hospital correspondence to the inputsearch criterion, and one or more processing modules (410), configuredto process the input search criterion and identify one or more hospitalcorresponding to the input search criterion based on a plurality ofattributes.

Referring to FIG. 1 is the system for generating the hospitalrecommendation, in accordance with various embodiments of the presentinvention. The system (100) includes the communication device (104)associated with the user (102), the communication device (114)associated with a user (112), and the hospital recommendation platform108. The communication device (104) and the communication device (114)communicate with the hospital recommendation platform (108) through thecommunication network (110). The functions and capabilities of thecommunication device (104) are same as the functions and capabilities ofthe communication device (114). Examples of the user (102) include, butare not limited to a user, a patient, healthcare personnel, anadministrator, a caretaker, an assistant, and any authority.

In accordance with one embodiment of the present invention, thecommunication device (104) refers to a handheld electronic device thatcan be used to communicate over the communication network (110).Examples of the communication device (104) include, but are not limitedto a cell phone, a smart phone, a cellular phone, a cellular mobilephone, a personal digital assistant (PDA), a navigation terminal, apersonal computer, a laptop, and a tablet computer. Examples of types ofthe communication network include, but are not limited to a local areanetwork, a wide area network, a radio network, a virtual privatenetwork, an internet area network, a metropolitan area network, asatellite network, Wi-Fi, Bluetooth Low energy, a wireless network, anda telecommunication network. Examples of the telecommunication networkinclude, but are not be limited to a global system for mobilecommunication (GSM) network, a general packet radio service (GPRS)network, third Generation Partnership Project (3GPP), 4G, Long-TermEvolution (LTE), an enhanced data GSM environment (EDGE) and a UniversalMobile Telecommunications System (UMTS).

In accordance with one embodiment of the present invention, the hospitalrecommendation platform (108) refers to a platform that provides a listof hospital recommendation to the user (102) for an input searchcriterion. The user (102) inputs the search criterion through thecommunication device (104). The hospital recommendation platform (108)receives the input search criterion from the communication device (104).In an embodiment, the hospital recommendation platform (108) storesinformation related to one or more hospitals. The hospitalrecommendation platform (108) processes the input search criterion andidentifies one or more hospital correspondence to the search criterion.In an embodiment, the hospital recommendation platform (108) identifiesone or more hospital based on comparison among one or more hospitals. Inan embodiment, identifying one or more hospitals further includesobtaining a list of doctors affiliated to a hospital based on a firstscoring method, applying a second scoring method to the obtained list ofdoctors, and calculating a score for the hospital based on a cumulativescore obtained from the second scoring method. The cumulative score isan aggregate score of the list of doctors affiliated to the hospital.The first scoring method comprises calculating a score for a doctorbased on at least one of the various weights to each attributes andstrengths of association of each attribute with the input searchcriterion.

In accordance with one embodiment of the present invention, thecomparison among one or more hospitals is based on a parameter. Theparameter is the cumulative score obtained from the second scoringmethod.

In accordance with one embodiment of the present invention, if there aremultiple affiliations for a particular doctor, the hospitalrecommendation platform (108) gives weights to each affiliation basedon, but not limited to, the size of the hospital and number ofaffiliated hospitals for the given doctor.

In accordance with one embodiment of the present invention, the hospitalrecommendation platform (108) displays a list of hospital recommendationbased on a comparative score of the hospitals. In an embodiment, thehospital having a higher score is displayed on the top.

In accordance with one embodiment of the present invention, the hospitalrecommendations is not based on a single attribute, rather, it is basedon various attributes of affiliated doctors in different domains.Examples of the domains include, but are not limited to clinicalexpertise for a search term, research contributions related to searchterm, and subject authority. The subject authority is based on educationcontributions, leadership roles held among peers and number ofreferrals. Examples of attributes include, but is not limited to numberof publications as first or last author for each search term, number ofpublications not as first or last author for each search term, number ofcitations for publications in which the hospital is first or last authorfor each search term, number of citations for publications in which thehospital is not a first or last author for each search term, ratio oforiginal article and total publications, ratio of human studies andtotal publication, number of patients a hospital sees with a particulardisease, number of a particular medicine prescribed by a hospital,number of a particular procedure performed by a hospital, invitedchapters in a book on a particular topic, leadership positions in anational organization, number of referrals from peers, and honor inlocal and regional chapters.

In accordance with one embodiment of the present invention, the firstscoring mechanism includes assigning various weights to each attributeof affiliated doctors. In another embodiment, the first scoringmechanism includes analyzing strengths of association of each attributeof affiliated doctors with the input search criterion. The individualdoctor scores will be calculated based on at least one of the variousweights to each attribute and strength of association of each attributewith the input search criterion. Further, for a given search criterion,the score for the hospital will be the cumulative score obtained fromthe second scoring method. For a particular search criterion, thehospital associated with highest score will be displayed on the top. Inan embodiment, displaying a list of hospital recommendations based onthe descending order of the scores. In an embodiment, the hospitalrecommendation is unbiased. The hospital recommendation platform (108)does not require input from either patients or hospitals and thus avoidsa bias. In an embodiment, the hospital recommendation platform (108)provides personalized hospital recommendations based on the “SearchTerm”. Furthermore, the hospital recommendation platform (108) displaysa list of hospital recommendations in various forms. Example of variousforms includes, but is not limited to a graphical chart, a tabular form,voice guidance, a multimedia element, an animated report, and aninteractive web element.

FIG. 2 illustrates a flowchart (200) for generating a list of hospitalrecommendations, in accordance with various embodiments of the presentinvention.

At step (201), the flowchart (200) initiates.

At step (202), the hospital recommendation platform (108) receives theinput search criterion from the communication device (104). In anembodiment, the hospital recommendation platform (108) receives theinput search criterion from a registered communication device. Inanother embodiment, the hospital recommendation platform (108) receivesthe input search criterion from a registered user. In an embodiment, thehospital recommendation platform (108) stores various informationrelated to one or more hospitals.

At step (204), the hospital recommendation platform (108) processes theinput search criterion and identifies one or more hospitalcorrespondence to the search criterion. In an embodiment identifying oneor more hospitals further includes obtaining a list of doctorsaffiliated to a hospital based on a first scoring method, applying asecond scoring method to the obtained list of doctors, and calculating ascore for the hospital based on a cumulative score obtained from thesecond scoring method. The cumulative score is an aggregate score of thelist of doctors affiliated to the hospital. The first scoring methodcomprising calculating a score for a doctor based on at least one of thevarious weights to each attributes and strengths of association of eachattributes with the input search criterion. If there are multipleaffiliations for a particular doctor, the hospital recommendationplatform 108 gives weights to each affiliation based on, but not limitedto, the size of the hospital and number of affiliated hospitals for thegiven doctor.

At step (206), the hospital recommendation platform (108) compares oneor more hospitals based on based on a parameter. In an embodiment, theparameter is the cumulative score obtained from the second scoringmethod

At step (208), the hospital recommendation platform (108) displays alist of hospital recommendations correspondence to the input searchcriterion. In an embodiment, displaying a list of hospitalrecommendations based on the descending order of the scores. At step(210), the flowchart (200) terminates.

Referring to the FIG. 3a illustrates a user interface (302) forreceiving an input search criterion, in accordance with variousembodiments of the present invention. In an embodiment, the userinterface (302) is a search box. Search boxes are accompanied by asearch button. In another embodiment, the user interface (302) is aninput text box. In yet another embodiment, the user interface (302) is asearch field. In an embodiment, the user interface (302) includes guidedtext. In context of the present invention, the guided text is disease,procedure, or medicine.

Referring to the FIG. 3b illustrates a user interface (304) forproviding search term suggestions, in accordance with variousembodiments of the present invention. In an embodiment, the userinterface (304) displayed the search term suggestions using ontology. Inan embodiment, the user interface (304) displayed the search termsuggestions based on grammar and dictionary. In some examples, the userinterface (304) may receive one or more indications of input to selectone or more keys of a keyboard. Responsive to receiving the indications,the user interface (304) may utilize a language model to determine oneor more word suggestions. For instance, the user interface (304) maydetermine a probability that a string of characters corresponding to oneor more selected keys is included in or is a misspelling of at least oneof the word suggestions. The user interface (304) may rank each wordsuggestion based on a probability that the word suggestion is the wordactually intended by the user. For example, if the user interface (304)may receive a series of one or more character “hypert”, it displays oneor more search term suggestions such as Hypertelorism, Hypertension,Hyperthyroidism, and the like.

Referring to the FIG. 3c illustrates a user interface (306) forselecting a category, in accordance with various embodiments of thepresent invention. The user (102) may select one of the displayedcategories. In an embodiment, the user interface 306 may be a webelement. In another embodiment, the user interface (306) may include aradio button. In yet another embodiment, the user interface (306) mayinclude a check box. In yet another embodiment, the user interface (306)may include an interactive web element.

Referring to the FIG. 3d illustrates a user interface (308) fordisplaying a list of hospital recommendation, in accordance with variousembodiments of the present invention. In an embodiment, the userinterface (308) displays computed score of each hospital. In anotherembodiment, the user interface (308) displays physical address of eachhospital. In an embodiment, the physical address of a hospital isdisplayed on an electronic map. In yet another embodiment, the userinterface (308) displays a web button correspondence to more detailsabout the hospital. When the user (102) clicks the web buttoncorrespondence to more details about the hospital, more informationabout the hospital will be displayed.

Referring to the FIG. 3e illustrates a user interface (310) forfiltering the list of hospital recommendations displayed on the userinterface (310), in accordance with various embodiments of the presentinvention. In an embodiment, the user interface (310) includes a list oflocations. Example of location may include, but is not limited to astate name, a country name, a city name, a metro city name, an areaname, and a street name. The user (102) may choose one of the locationsto filter out the list of hospital recommendations displayed on the userinterface (310).

Referring to the FIG. 4 illustrates a block diagram (400) of thehospital recommendation platform (108), in accordance with variousembodiments of the present invention. The block diagram (400) of thehospital recommendation platform (108) includes an information storagemodule (406), an input detection module (404), one or more processingmodules (410) and an analytics module (408).

In accordance with one embodiment of the present invention, the inputdetection module (404) of the hospital recommendation platform (108)detects the input search criterion. In an embodiment, the user (102)inputs the search criterion through the communication device (104). Inan embodiment, the user (102) inputs the search criterion directly on agraphical user interface of the hospital recommendation platform (108).In an embodiment, the detection module (404) may include a userinterface for receiving input search criterion. In an embodiment, theuser interface is a search box. Search boxes are accompanied by a searchbutton. In another embodiment, the user interface is an input text box.In yet another embodiment, the user interface is a search field.

In accordance with one embodiment of the present invention, one or moreprocessing modules (410) of the hospital recommendation platform (108)process the input search criterion and identify one or more hospitalcorrespondence to the search criterion. In an embodiment, the one ormore processing module (410) is associated with a memory module. Thememory module accessible by the one or more processing module (410)receives and stores data. The memory module may be a main memory, suchas a high speed Random Access Memory (RAM), or an auxiliary storageunit, such as a hard disk, a floppy disk, or a magnetic tape drive. Thememory may be any other type of memory, such as a Read-Only Memory(ROM), or optical storage media such as a videodisc and a compact disc.The one or more processing module (410) may access the memory module toretrieve data. Examples of one or more processing module includes, butare not limited to a central processing unit (CPU), a front-endprocessor, a microprocessor, a graphics processing unit (GPUNPU), aphysics processing unit (PPU), a digital signal processor, and a networkprocessor. Furthermore, the analytics module 408 of the hospitalrecommendation platform 108 identifying one or more hospitals furtherincludes obtaining a list of doctors affiliated to a hospital based on afirst scoring method, applying a second scoring method to the obtainedlist of doctors, and calculating a score for the hospital based on acumulative score obtained from the second scoring method. The cumulativescore is an aggregate score of the list of doctors affiliated to thehospital. The first scoring method comprising calculating a score for adoctor based on at least one of the various weights to each attributesand strengths of association of each attributes with the input searchcriterion. If there are multiple affiliations for a particular doctor,the hospital recommendation platform 108 gives weights to eachaffiliation based on, but not limited to, the size of the hospital andnumber of affiliated hospitals for the given doctor.

In accordance with one embodiment of the present invention, theanalytics module (408) of the hospital recommendation platform (108)compares one or more hospitals based on the parameter and provides alist of hospital correspondence to the search criterion. In anembodiment, the parameter is the cumulative score obtained from thesecond scoring method. In an embodiment, the hospital having a higherscore is displayed on the top. In an embodiment, providing a list ofhospital correspondence to the search criterion is not based on a singleattribute of affiliated doctors, rather, it is based on variousattributes in different domains of affiliated doctors. Examples of thedomains include, but are not limited to Clinical expertise for a searchterm, Research contributions related to search term, and Subjectauthority. The subject authority is based on education contributions,leadership roles held among peers and number of referrals. Examples ofattributes include, but is not limited to number of publications asfirst or last author for each search term, number of publications not asfirst or last author for each search term, number of citations forpublications in which the doctor is first or last author for each searchterm, number of citations for publications in which the doctor is not afirst or last author for each search term, ratio of original article andtotal publications, ratio of human studies and total publication, numberof patients a doctor sees with a particular disease, number of aparticular medicine prescribed by a doctor, number of a particularprocedure performed by a doctor, invited chapters in a book on aparticular topic, leadership positions in a national organization,number of referrals from peers, and honor in local and regionalchapters. In an embodiment, the scoring mechanism includes assigningvarious weights to each attribute of affiliated doctors. In anotherembodiment, the scoring mechanism includes analyzing strengths ofassociation of each attribute with the input search criterion. Further,for a given search criterion, the score for a hospital will becalculated based on the sum of scores for affiliated doctors. Theaffiliated doctors' scores will be based on at least one of the variousweights to each attribute and strengths of association of each attributewith the input search criterion. For a particular search criterion, thehospital associated with highest score will be displayed on the top. Inan embodiment, displaying a list of hospital recommendations based onthe descending order of the score. In an embodiment, the hospitalrecommendation is unbiased. The hospital recommendation platform (108)does not require input from either patients or hospitals and thus avoidsa bias. In an embodiment, the hospital recommendation platform (108)provides personalized hospital recommendations based on the “SearchTerm”. Furthermore, the hospital recommendation platform (108) displaysa list of hospital recommendation in various forms. Example of variousforms includes, but is not limited to a graphical chart, a tabular form,voice guidance, a multimedia element, an animated report, and aninteractive web element.

In accordance with one embodiment of the present invention, theinformation storage module (406) of the hospital recommendation platform(108) stores information related to one or more hospitals andinformation related to a user. In an embodiment, the information storagemodule (406) is a multi-tier storage system. In another embodiment, theinformation storage module (406) stores the information in an encryptedformat. In yet another embodiment, the information storage module (406)stores the information in an indexed format. The storage module (406)facilitates storage, retrieval, modification, and deletion of data inconjunction with various data-processing operations. Storage moduleinformation may be retrieved through queries using keywords and sortingcommands, in order to rapidly search, rearrange, group, and select thefield.

In accordance with one embodiment of the present invention, the storagemodule (406) is secure web servers and Hypertext Transport ProtocolSecure (HTTPS) capable of supporting Transport Layer Security (TLS.Communications to and from the secure web servers may be secured usingSecure Sockets Layer (SSL). An SSL session may be started by sending arequest to the Web server with an HTTPS prefix in the URL.Alternatively, any known communication protocols that enable deviceswithin a computer network to exchange information may be used. Examplesof protocols are as follows: IP (Internet Protocol), UDP (User DatagramProtocol), TCP (Transmission Control Protocol), DHCP (Dynamic HostConfiguration Protocol), HTTP (Hypertext Transfer Protocol), FTP (FileTransfer Protocol), Telnet (Telnet Remote Protocol), SSH (Secure ShellRemote Protocol), POP3 (Post Office Protocol 3), SMTP (Simple MailTransfer Protocol), IMAP (Internet Message Access Protocol), SOAP(Simple Object Access Protocol), PPP (Point-to-Point Protocol), RFB(Remote Frame buffer) Protocol.

The illustrations of arrangements described herein are intended toprovide a general understanding of the structure of various embodiments,and they are not intended to serve as a complete description of all theelements and features of apparatus and systems that might make use ofthe structures described herein. Many other arrangements will beapparent to those of skill in the art upon reviewing the abovedescription. Other arrangements may be utilized and derived therefrom,such that structural and logical substitutions and changes may be madewithout departing from the scope of this disclosure. Figures are alsomerely representational and may not be drawn to scale. Certainproportions thereof may be exaggerated, while others may be minimized.Accordingly, the specification and drawings are to be regarded in anillustrative rather than a restrictive sense.

The preceding description has been presented with reference to variousembodiments. Users skilled in the art and technology to which thisapplication pertains will appreciate that alterations and changes in thedescribed structures and methods of operation can be practiced withoutmeaningfully departing from the principle, spirit and scope.

What is claimed is:
 1. A method for generating a hospital recommendationto a user (102), said method for generating said hospital recommendationto said user (102) comprising: a. receiving an input search criterion bya hospital recommendation platform (108) using one or more communicationdevices (104; 114); b. identifying one or more hospital according tosaid received input search criterion based on a plurality of attributesof one or more affiliated doctors classified under a plurality ofdomains; c. comparing one or more identified hospitals based on aparameter; and d. displaying a list of hospital to said user (102)corresponding to said received input search criterion.
 2. The method asclaimed in claim 1, wherein identifying one or more hospitals furthercomprising: a. obtaining a list of doctors affiliated to a hospitalbased on a first scoring method; b. applying a second scoring method tothe obtained list of doctors; and c. calculating a score for thehospital based on a cumulative score obtained from said second scoringmethod.
 3. The method as claimed in claim 1, wherein said parameter forcomparing one or more identified hospitals is said cumulative scoreobtained from said second scoring method.
 4. The method as claimed inclaim 1, wherein said plurality of attributes of affiliated doctors foridentification of one or more hospitals is selected from a groupcomprising of clinical expertise, research contribution, educationcontribution, subject authority, authorship, number of academicpublications as first, subsequent or last author, number of citationsfor said publications, invited chapters in a book on a particular topic,ratio of original article and total publications, ratio of human studiesand total publication, number of patients said one or more doctor with aparticular disease, number of a particular medicine prescribed by saidone or more doctor, number of a particular procedure performed by saidone or more doctor, and leadership role in a national organization,number of referrals from peers, and honor in local and regional chaptersof said one or more doctor pertaining to said input search criterion. 5.The method as claimed in claim 1, wherein said input search criterion isbased on at least one disease, procedure and medicine.
 6. The method asclaimed in claim 1, further comprise of enabling auto completion of saidinput search criterion.
 7. The method as claimed in claim 1, whereinsaid list of hospitals is displayed in a descending or an ascendingorder of based on said scoring mechanism.
 8. The method as claimed inclaim 1, wherein said list of hospital is displayed to said user (102)corresponding to said received input search criterion in form of agraphical chart, a tabular form, voice guidance, a multimedia element,an animated report, or an interactive web element.
 9. The method asclaimed in claim 2, wherein said first scoring method comprisingcalculating a score for a doctor based on at least one of variousweights to said plurality of each attributes and strengths ofassociation of said plurality of attributes with said input searchcriterion.
 10. The method as claimed in claim 2, wherein said cumulativescore is an aggregate score of said list of doctors affiliated to saidhospital.
 11. A system (100) for generating a hospital recommendation toa user (102) using a hospital recommendation platform (108)communicatively coupled with one or more communication devices (104;114) through a communication network (110), said system (100) forgenerating said hospital recommendation to said user (102) comprising:a. an input detection module (404), configured to receive, detect andinterpret an input search criterion by said hospital recommendationplatform (108) using one or more communication devices (104; 114); b. aninformation storage module (406), configured to store informationrelated to one or more hospital and information related to said user(102); c. an analytics module (408), configured to compare one or moreidentified hospital based on a scoring mechanism and provide a list ofhospital correspondence to said input search criterion; and d. one ormore processing modules (410), configured to process said input searchcriterion and identify one or more hospital corresponding to said inputsearch criterion based on a plurality of attributes.